Correlation Between PSI Software and PT Bank
Specify exactly 2 symbols:
By analyzing existing cross correlation between PSI Software AG and PT Bank Rakyat, you can compare the effects of market volatilities on PSI Software and PT Bank and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in PSI Software with a short position of PT Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of PSI Software and PT Bank.
Diversification Opportunities for PSI Software and PT Bank
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between PSI and BYRA is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding PSI Software AG and PT Bank Rakyat in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PT Bank Rakyat and PSI Software is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on PSI Software AG are associated (or correlated) with PT Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PT Bank Rakyat has no effect on the direction of PSI Software i.e., PSI Software and PT Bank go up and down completely randomly.
Pair Corralation between PSI Software and PT Bank
Assuming the 90 days trading horizon PSI Software AG is expected to generate 0.17 times more return on investment than PT Bank. However, PSI Software AG is 5.72 times less risky than PT Bank. It trades about -0.02 of its potential returns per unit of risk. PT Bank Rakyat is currently generating about -0.02 per unit of risk. If you would invest 2,230 in PSI Software AG on October 21, 2024 and sell it today you would lose (40.00) from holding PSI Software AG or give up 1.79% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
PSI Software AG vs. PT Bank Rakyat
Performance |
Timeline |
PSI Software AG |
PT Bank Rakyat |
PSI Software and PT Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PSI Software and PT Bank
The main advantage of trading using opposite PSI Software and PT Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PSI Software position performs unexpectedly, PT Bank can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in PT Bank will offset losses from the drop in PT Bank's long position.PSI Software vs. Media and Games | PSI Software vs. COLUMBIA SPORTSWEAR | PSI Software vs. OURGAME INTHOLDL 00005 | PSI Software vs. FRACTAL GAMING GROUP |
PT Bank vs. FIRST SHIP LEASE | PT Bank vs. Cal Maine Foods | PT Bank vs. United Rentals | PT Bank vs. INDOFOOD AGRI RES |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
Other Complementary Tools
Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account | |
Money Managers Screen money managers from public funds and ETFs managed around the world | |
Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities |